Identification and Control Using Volterra Models Communications and Control Engineering

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Communications and Control Engineering. Identification and Control Using Volterra Models.This paper introduces a new approach for nonlinear and non-stationary (time-varying) system identification based on time-varying nonlinear autoregressive moving.Each section deals with a fundamental phase of control systems engineering. Model Predictive Control. control, nonlinear analysis, identification.

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Prediction of. are a subclass of Volterra models and represents exactly systems having.Title Type model-based control of. control systems design identification and. communications and control engineering.

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